LearnViz CompSci

Learn Computer Science Interactively

1,017 topics across 20 areas, from beginner programming to distributed systems and quantum computing. Every topic has a plain-English explanation, real-world use cases, common pitfalls and FAQs, plus visualizers, quizzes and timed tests.

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Frequently asked questions

Where should a complete beginner start?
Begin with Programming Fundamentals (variables, control flow, functions), then Data Structures and Algorithms. Pair each topic with the Visual Lab so you can watch the idea run.
Do I need strong math to study computer science?
You need comfort with algebra and logic to begin. Discrete math, probability and linear algebra become important for algorithms, machine learning and graphics — see the Math for Computing area.
Which programming language should I learn first?
Python is a gentle first language; JavaScript gives instant visual results in the browser; C or Rust teaches memory. The concepts transfer — pick one and build projects.
What is Big-O notation and why does it matter?
Big-O describes how an algorithm's cost grows as input grows. It lets you compare solutions independent of hardware. Try the “Growth Rates” chart in the Visual Lab.
What is the difference between a process and a thread?
A process owns its own memory space and resources; threads inside a process share that memory, which makes them lighter but needs synchronization.
Array or linked list — which is better?
Arrays give O(1) random access and cache-friendly layout; linked lists give O(1) insertion/removal at a known node. In practice arrays win more often than textbooks suggest.

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